scholarly journals Identification methods for campylobacters, helicobacters, and related organisms.

1996 ◽  
Vol 9 (3) ◽  
pp. 405-422 ◽  
Author(s):  
S L On
Keyword(s):  
Accurate Identification ◽  
Diverse Range ◽  
Identification Methods ◽  
Identification Process ◽  
Therapeutic Measures ◽  
Economic Perspectives

The organisms which are referred to as campylobacteria are associated with a diverse range of diseases and habitats and are important from both clinical and economic perspectives. Accurate identification of these organisms is desirable for deciding upon appropriate therapeutic measures, and also for furthering our understanding of their pathology and epidemiology. However, the identification process is made difficult because of the complex and rapidly evolving taxonomy, fastidious nature, and biochemical inertness of these bacteria. These problems have resulted in a proliferation of phenotypic and genotypic methods for identifying members of this group. The purpose of this review is to summarize the problems associated with identifying campylobacteria, critically appraise the methods that have been used for this purpose, and discuss prospects for improvements in this field.

scholarly journals Automated Identification of Discrepancies between Nautical Charts and Survey Soundings

2018 ◽  
Vol 7 (10) ◽  
pp. 392 ◽  
Author(s):  
Giuseppe Masetti ◽  
Tyanne Faulkes ◽  
Christos Kastrisios
Keyword(s):  
Best Practices ◽  
Automated Identification ◽  
Specific Point ◽  
Accurate Identification ◽  
Triangulated Irregular Network ◽  
Identification Process ◽  
Nautical Chart ◽  
Human Evaluation ◽  
Change Identification ◽  
Automated Processes

Timely and accurate identification of change detection for areas depicted on nautical charts constitutes a key task for marine cartographic agencies in supporting maritime safety. Such a task is usually achieved through manual or semi-automated processes, based on best practices developed over the years requiring a substantial level of human commitment (i.e., to visually compare the chart with the new collected data or to analyze the result of intermediate products). This work describes an algorithm that aims to largely automate the change identification process as well as to reduce its subjective component. Through the selective derivation of a set of depth points from a nautical chart, a triangulated irregular network is created to apply a preliminary tilted-triangle test to all the input survey soundings. Given the complexity of a modern nautical chart, a set of feature-specific, point-in-polygon tests are then performed. As output, the algorithm provides danger-to-navigation candidates, chart discrepancies, and a subset of features that requires human evaluation. The algorithm has been successfully tested with real-world electronic navigational charts and survey datasets. In parallel to the research development, a prototype application implementing the algorithm was created and made publicly available.

scholarly journals Automated Identification of Discrepancies between Nautical Charts and Survey Soundings

2018 ◽  
Author(s):  
Giuseppe Masetti ◽  
Tyanne Faulkes ◽  
Christos Kastrisios
Keyword(s):  
Best Practices ◽  
Automated Identification ◽  
Specific Point ◽  
Accurate Identification ◽  
Triangulated Irregular Network ◽  
Identification Process ◽  
Nautical Chart ◽  
Human Evaluation ◽  
Change Identification ◽  
Automated Processes

Timely and accurate identification of change detection for areas depicted on nautical charts constitutes a key task for marine cartographic agencies in supporting maritime safety. Such a task is usually achieved through manual or semi-automated processes, based on best practices developed over the years requiring a substantial level of human commitment (i.e., to visually compare the chart with the new collected data or to analyze the result of intermediate products). This work describes an algorithm that aims to largely automate the change identification process as well as to reduce its subjective component. Through the selective derivation of a set of depth points from a nautical chart, a triangulated irregular network is created to apply a preliminary tilted-triangle test to all the input survey soundings. Given the complexity of a modern nautical chart, a set of feature-specific, point-in-polygon tests are then performed. As output, the algorithm provides danger-to-navigation candidates, chart discrepancies, and a subset of features that requires human evaluation. The algorithm has been successfully tested with real-world electronic navigational charts and survey datasets. In parallel to the research development, a prototype application implementing the algorithm was created and made publicly available.

Concept of Measurements and Acquisition System for Identification Process of a Synchronous Ship Generator

2013 ◽  
Vol 196 ◽  
pp. 13-19
Author(s):  
Adam Polak
Keyword(s):  
Mathematical Model ◽  
Synchronous Generator ◽  
Real Object ◽  
Acquisition System ◽  
Accurate Identification ◽  
Identification Process ◽  
Vector Of State ◽  
The Mathematical Model

The process of identification of the parameters of a mathematical model of any dynamic real object necessitates performing the relevant number of measurements with the accurate precision of the quantities that characterize the current temporal state of this object (i.e. object’s vector of state). The accurate identification of the parameters of such a model is achievable only with the help of an especially designed system of acquisition and measurement. This article describes the mathematical model of ship’s synchronous generator with the presupposed simplifications, the parameters of this model and the methods of its determining. There is also presented the conception of the system of acquisition and measurement (based on CompactDAQ platform produced by National Instruments), which is indispensable for identifying the parameters of this model.

scholarly journals Straggler handling approaches in mapreduce framework: a comparative study

2021 ◽  
Vol 11 (1) ◽  
pp. 375
Author(s):  
Anwar H. Katrawi ◽  
Rosni Abdullah ◽  
Mohammed Anbar ◽  
Ibrahim AlShourbaji ◽  
Ammar Kamal Abasi
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Database Systems ◽  
Mapreduce Framework ◽  
Huge Amount ◽  
Accurate Identification ◽  
Big Data Processing ◽  
Identification Methods ◽  
Major Bottleneck ◽  
Different Sources

The proliferation of information technology produces a huge amount of data called big data that cannot be processed by traditional database systems. These Various types of data come from different sources. However, stragglers are a major bottleneck in big data processing, and hence the early detection and accurate identification of stragglers can have important impacts on the performance of big data processing. This work aims to assess five stragglers identification methods: Hadoop native scheduler, LATE Scheduler, Mantri, MonTool, and Dolly. The performance of these techniques was evaluated based on three benchmarked methods: Sort, Grep and WordCount. The results show that the LATE Scheduler performs the best and it would be efficient to obtain better results for stragglers identification.

Strain-GeMS: optimized subspecies identification from microbiome data based on accurate variant modeling

2018 ◽  
Vol 35 (10) ◽  
pp. 1789-1791 ◽  
Author(s):  
Chongyang Tan ◽  
Wei Cui ◽  
Xinping Cui ◽  
Kang Ning
Keyword(s):  
Small Variation ◽  
Supplementary Information ◽  
Accurate Identification ◽  
Identification Methods ◽  
Snp Calling ◽  
Critical Issues ◽  
Different Strains ◽  
Microbiome Data ◽  
Variant Identification

Abstract Motivation Subspecies identification is one of the most critical issues in microbiome studies, as it is directly related to their functions in response to the environmental stress and their feedbacks. However, identification of subspecies remains a challenge largely due to the small variation between different strains within the same species. Accurate identification of subspecies primarily relies on variant identification and categorization through microbiome data. However, current SNP calling and subspecies identification for microbiome data remain underdeveloped. Results In this work, we have proposed Strain-GeMS for subspecies identification from microbiome data, based on solid statistical model for SNP calling, as well as optimized procedure for subspecies identification. Results on simulated, ab initio and in vivo datasets have shown that Strain-GeMS could always generate more accurate results compared with other subspecies identification methods. Availability and implementation Strain-GeMS is available at: https://github.com/HUST-NingKang-Lab/straingems. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Morphology and Molecular Identification of Twelve Commercial Varieties of Kiwifruit

Molecules ◽  
2019 ◽  
Vol 24 (5) ◽  
pp. 888
Author(s):  
Qiaoli Xie ◽  
Hongbo Zhang ◽  
Fei Yan ◽  
Chunxia Yan ◽  
Shuguang Wei ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Phylogenetic Trees ◽  
Legal Rights ◽  
Quality And Safety ◽  
Actinidia Chinensis ◽  
Nuclear Region ◽  
Dna Barcodes ◽  
Accurate Identification ◽  
Identification Methods ◽  
Relationship Of

The quality and safety of food are important guarantees for the health and legal rights of consumers. As an important special fruitcrop, there are frequently shoddy practices in the kiwifruit (Actinidia chinensis) market, which harms the interests of consumers. However, there is lack of rapid and accurate identification methods for commercial kiwifruit varieties. Here, twelve common commercial varieties of kiwifruit were morphologically discriminated. DNA barcodes of chloroplast regions psbA-trnH, rbcL, matK, rpoB, rpoC1, ycf1b, trnL and rpl32_trnL(UAG), the nuclear region At103 and intergenic region ITS2 were amplified. Divergences and phylogenetic trees were used to analyze the phylogenetic relationship of these twelve commercial kiwifruit varieties. The results showed that matK, ITS2 and rpl32_trnL(UAG) can be utilized as molecular markers to identify CuiYu, JinYan, HuangJinGuo, ChuanHuangJin, HuaYou, YaTe, XuXiang and HongYang. This provides experimental and practical basis to scientifically resolve kiwifruit-related judicial disputes and legal trials.

Species-specific probes for the identification of the African tsetse-transmitted trypanosomes

Parasitology ◽  
2009 ◽  
Vol 136 (12) ◽  
pp. 1501-1507 ◽  
Author(s):  
W. GIBSON
Keyword(s):  
Genetic Diversity ◽  
Phylogenetic Analysis ◽  
Sequence Data ◽  
Quantitative Information ◽  
Morphological Identification ◽  
Trypanosome Species ◽  
Accurate Identification ◽  
Identification Methods ◽  
Detection And Identification ◽  
Species Specific

SUMMARYThe first step in studying the epidemiology of a disease is the accurate identification of the pathogen. Traditional reliance on morphological identification has given way to the use of molecular methods for the detection and identification of pathogens, greatly improving our understanding of epidemiology. For the African tsetse-transmitted trypanosomes, the growth of PCR methods for identification of trypanosomes has led to increased appreciation of trypanosome genetic diversity and discovery of hitherto unknown trypanosome species, as well as greater knowledge about the number and type of trypanosome infections circulating in mammalian hosts and vectors. Sequence data and phylogenetic analysis have provided quantitative information on the relatedness of different trypanosome species and allowed the new trypanosome genotypes discovered through the use of species identification methods in the field to be accurately placed in the phylogenetic tree.

Microfungal endophytes in roots

2005 ◽  
Vol 83 (1) ◽  
pp. 1-13 ◽  
Author(s):  
H D Addy ◽  
M M Piercey ◽  
R S Currah
Keyword(s):  
Host Plants ◽  
Dark Septate Endophytes ◽  
Accurate Identification ◽  
Diverse Range ◽  
Anatomical Features ◽  
Host Interactions ◽  
Phialocephala Fortinii ◽  
Dichotomous Key ◽  
Wide Range ◽  
Root Tissues

A wide range of ascomycetous microfungi inhabits roots without forming the anatomical features typical of mycorrhizas or causing overt signs of pathogenesis. The most-studied taxa have darkly pigmented hyphal walls and are referred to as "dark septate endophytes" (DSE). We provide a dichotomous key and annotated descriptions for a cross-section of the most common dark septate endophytes. The term DSE is sometimes used to imply taxonomic and physiological similarity even though a diverse range of root endophytic taxa form pigmented hyphae. Among these, Phialocephala fortinii Wang & Wilcox is a well-known representative; it is widespread, easily observed in roots, and readily grown in culture and with plants. Nevertheless, the basis of its symbiotic relationship with plants remains ambiguous. It may be a weak pathogen, a saprotroph on senescent root tissues, or a mutualist. More detailed studies of interactions between identified taxa of microfungal endophytes and host plants are necessary to elucidate the functional basis of these symbioses; it may be necessary to look beyond the paradigms of traditional mycorrhizal and pathogenic associations to understand the ecological roles of these fungi. Reports of cryptic speciation in Phialocephala fortinii emphasize the need for accurate identification of isolates of microfungal endophytes used in experiments.Key words: dark septate endophytes (DSE), Phialocephala fortinii, mycorrhiza, fungus–host interactions, fungi.

Development of a novel diagonal-weighted Preisach model for rate-independent hysteresis

2016 ◽  
Vol 231 (5) ◽  
pp. 961-976 ◽  
Author(s):  
Phuong-Bac Nguyen ◽  
Seung-Bok Choi ◽  
Byung-Keun Song
Keyword(s):  
Linear Operator ◽  
Preisach Model ◽  
Discrete Elements ◽  
Accurate Identification ◽  
Identification Methods ◽  
Inverted Triangle ◽  
Alternative Approach ◽  
Numerical Interpolation ◽  
Comparative Results

This article develops an alternative approach in modeling a hysteresis using Preisach model. A Preisach model is demonstrated geometrically by an inverted triangle, namely Preisach triangle, which contains an amount of fundamental operators. In a conventional Preisach model, these fundamental operators are ideal relays. Consequently, there exists an inherently discontinuous jump between two consecutive relays. To resolve this problem, in this work, a generalized linear operator is used as the fundamental elements. Correspondingly, its representative Preisach triangle consists of numerous discrete elements whose weight concentrates just along their diagonal. With such approach, it is possible to predict the response of the model according to any input without the aid of numerical interpolation tools. In addition, in this work, to determine the elements’ weights of the model, two accurate identification methods corresponding to two schemes of experimentally biased and unbiased dataset are developed. At last, several simulations and experiments are conducted to assess the effectiveness of the proposed approach showing comparative results with conventional Preisach model.

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